dynamo.vf.rank_acceleration_genes(adata, akey='acceleration', prefix_store='rank', **kwargs)[source]

Rank genes based on their absolute, positive, negative accelerations for each cell group.

  • adata – AnnData object that contains the reconstructed vector field function in the uns attribute.

  • akey – The acceleration key.

  • prefix_store – The prefix of the key that will be used to store the acceleration rank result.

  • kwargs

    additional keys that will be passed to the rank_genes function. It will accept the following arguments: group: str or None (default: None)

    The cell group that speed ranking will be grouped-by.

    genes: list or None (default: None)

    The gene list that speed will be ranked. If provided, they must overlap the dynamics genes.

    abs: bool (default: False)

    When pooling the values in the array (see below), whether to take the absolute values.

    normalize: bool (default: False)

    Whether normalize the array across all cells first, if the array is 2d.

    fcn_pool: callable (default: numpy.mean(x, axis=0))

    The function used to pool values in the to-be-ranked array if the array is 2d.

    output_values: bool (default: False)

    Whether output the values along with the rankings.


AnnData object that is updated with the ‘rank_acceleration’ information in the .uns.

Return type: